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Show Results For
- All HBS Web
(1,111)
- People (1)
- News (222)
- Research (641)
- Events (14)
- Multimedia (7)
- Faculty Publications (519)
- 14 Mar 2023
- Blog Post
How I Spent My 2+2 Deferral: Dyllan Muller
Associate Scientist at Unilever’s Personal Care R&D site in Trumbull, Connecticut. There, I did computational chemistry research and machine learning modeling to find new... View Details
- Profile
Joel Hurd
Coming to HBS is like Getting tossed in the fanciest washing machine on earth with the “heavy duty” and “extra spin cycle” settings selected. What is your most memorable classroom moment? I once argued very... View Details
- 04 Aug 2003
- Research & Ideas
Shackleton: An Entrepreneur of Survival
choosing compelling stories—stories that we can learn from, stories that we can make our own, stories that we don't forget as we go out in the world and begin to be responsible for other people's lives,... View Details
Keywords: by Martha Lagace
- Web
About Us - Research Computing Services
Matching Large Language Models (LLMs) Machine Learning Natural Language Processing Revise and Resubmit Support Simulations Visualizations Software Licensing (login required)... View Details
- Web
Online Business Analytics Course | HBS Online
across themes such as forecasting, linear regressions, and machine learning to better lead your team to long-term success. You will learn how to... View Details
- Web
Design Thinking Course | HBS Online
processes Develop a strategic innovation toolkit and learn when and how to apply design thinking and innovative problem-solving tools View Details
- Web
Strategy Execution Online Course | HBS Online
Participant Prepare for a managerial role and position yourself for advancement by learning how to effectively implement strategy. "What I found most valuable were the methods View Details
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
- 09 Jun 2024
- Blog Post
The EC Formula: MBA Class of 2024 Looks Back
factoring in long-term economic sustainability should be standard in developing any corporate strategy—something I learned through the course and have already been able to apply. After taking this course, I... View Details
- 01 Dec 2018
- News
Digital Transformation
in.” To further scholarship at HBS related to data science, machine learning, and artificial intelligence, and to support HBS’s Digital Initiative, Ahmad established the Syed... View Details
- 07 Jan 2019
- Research & Ideas
The Better Way to Forecast the Future
for prediction and for forecasting something that is unknown.” The rise of big data and machine learning offers infinitely more fuel to churn out... View Details
- Web
Technology & Operations Management Awards & Honors - Faculty & Research
Optimum Renewable Generation and Energy Storage Investments” with Simone Marinesi, and Serguei Netessine. Himabindu Lakkaraju : Honorable Mention for the Workshop on Trustworthy View Details
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- Web
Newsletters | Baker Library
Newsletters Baker Library curates newsletters on various topics and industries for members of the HBS community. Sign up for our newsletters Industry Highlights Newsletters Diversity, Equity & Inclusion Newsletter Generative View Details
- 19 Apr 2004
- Research & Ideas
Birth of the American Salesman
Influence People, published originally in 1937, remains one of the most popular and draws in part on lessons the author learned working as a salesman for Armour. Q: You trace the world of selling in America... View Details
Keywords: by Laura Linard
- 01 Sep 2023
- News
Global Outposts Expand HBS’s Intellectual Footprint
Since taking over as CEO of Tata Steel in 2013, T. V. Narendran had sought to transform India’s oldest steel manufacturing firm to ready it for a rapidly evolving business world. He instilled financial discipline, acquired new businesses, and launched digital... View Details
Keywords: Jennifer Gillespie
- Web
Winners & Runners-Up | New Venture Competition
tool built by the trans community that addresses clinicians’ barriers around learning and advocacy. SeaCycle Hande Ilhan (MBA 2025) Jakob Spiess (MBA 2025) Social Enterprise Track Crowd Favorite Pioneering... View Details
- 14 Mar 2024
- Blog Post
IFC India: SELCO - Last Mile Solar Powered Energy for Rural India
impact within the community is designed to build ecosystems that deliver quality livelihood, health, and energy services at the last mile. During our visit, we had the chance to see and View Details
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- Web
Research Computing Services - Faculty & Research
and matching Review of papers and assistance addressing reviewers' comments Identification and testing of new methods and approaches The... View Details